dbatomic commented on code in PR #45105:
URL: https://github.com/apache/spark/pull/45105#discussion_r1495181485


##########
sql/api/src/main/scala/org/apache/spark/sql/catalyst/parser/DataTypeAstBuilder.scala:
##########
@@ -58,8 +59,8 @@ class DataTypeAstBuilder extends 
SqlBaseParserBaseVisitor[AnyRef] {
    * Resolve/create a primitive type.
    */
   override def visitPrimitiveDataType(ctx: PrimitiveDataTypeContext): DataType 
= withOrigin(ctx) {
-    val typeName = ctx.`type`.start.getType
-    (typeName, ctx.INTEGER_VALUE().asScala.toList) match {
+    val typeCtx = ctx.`type`
+    (typeCtx.start.getType, ctx.INTEGER_VALUE().asScala.toList) match {

Review Comment:
   adding @hvanhovell 
   
   We will have a meeting with Herman on Thursday to discuss how collations 
play with Spark Connect.
   
   I just gave it a quick spin and seems like we lack collation support in 
spark connect even without this PR. e.g.
   
   ```
   sql("select 'abc' collate 'UCS_BASIC_LCASE'")
   ```
   
   gets us:
   
   pyspark.errors.exceptions.connect.SparkConnectGrpcException: 
(org.apache.spark.sql.connect.common.InvalidPlanInput) Does not support convert 
string(UCS_BASIC_LCASE) to connect proto types.



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